added `precision` parameter to sentence transformers embeddings

deepset-ai / haystack

:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

Apache License 2.0

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Related Issues

fixes #8040

Proposed Changes:

Added precision parameter to SentenceTransformersEmbedder

How did you test it?

unit tests

Notes for the reviewer

@anakin87 please check if it's what you expect.

Checklist

I have read the contributors guidelines and the code of conduct
I have updated the related issue with new insights and changes
I added unit tests and updated the docstrings
I've used one of the conventional commit types for my PR title: fix:, feat:, build:, chore:, ci:, docs:, style:, refactor:, perf:, test:.
I documented my code
I ran pre-commit hooks and fixed any issue

Pull Request Test Coverage Report for Build 10316796911

Details

0 of 0 changed or added relevant lines in 0 files are covered.

4 unchanged lines in 2 files lost coverage.

Overall coverage increased (+0.003%) to 90.171%

Files with Coverage Reduction	New Missed Lines	%
components/embedders/sentence_transformers_document_embedder.py	2	96.55%
components/embedders/sentence_transformers_text_embedder.py	2	96.0%
<!--	Total:	4	-->

Files with Coverage Reduction

New Missed Lines

components/embedders/sentence_transformers_document_embedder.py

96.55%

components/embedders/sentence_transformers_text_embedder.py

96.0%

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Total:

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Totals
Change from base Build 10301663157:	0.003%
Covered Lines:	6917
Relevant Lines:	7671

Totals

Change from base Build 10301663157:

0.003%

Covered Lines:

6917

Relevant Lines:

7671

deepset-ai / haystack